{% set title = "NVIDIA Deep Learning Accelerator" %}
{% set embedded = true %}

{% extends "layout.html" %}

{% block body %}

<div class="section">
<!--  <header>-->
    <h1>NVDLA</h1>
<!--    <a href="https://github.com/nvdla"><div class="btn">Get the Code</div></a>
  </header>
  <hr>-->
  <p class="bigger">
  
  The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open
  architecture that promotes a standard way to design deep learning
  inference accelerators.  With its modular architecture, NVDLA is scalable,
  highly configurable, and designed to simplify integration and portability. 
  The hardware supports a wide range of IoT devices.  Delivered as an open
  source project under the <a href="license.html">NVIDIA Open NVDLA
  License</a>, all of the software, hardware, and documentation will be
  available on GitHub.  Contributions are welcome.
  
  </p>

  <div class="bullet row slightlybigger">
    <div class="col-xs-12 col-md-6">
      <ul>
          <li><b>Open Source:</b> Developed <a href="https://www.github.com/nvdla/">on GitHub</a> in an open directed community where contributions are encouraged.</li>
          <li><b>Complete Solution:</b> Comes complete with a Verilog and C-model, compiler, Linux drivers, test benches and test suites, kernel- and user-mode software, and software development tools.
          Easily portable to other operating systems.</li>
          <li><b>Scalable:</b> Well-suited to scale across a wide range of IoT devices.</li>
      </ul>
    </div>
    <div class="col-xs-12 col-md-6">
        <ul>
            <li><b>Proven Hardware Architecture:</b> Based on <a href="https://blogs.nvidia.com/blog/2016/09/28/xavier/">Xavier</a> &mdash; the world's first autonomous processor that NVIDIA designed for automotive products and more &mdash; and backed by a full verification suite.</li>
            <li><b>Deep Learning Savvy:</b> Smart, efficient, and ready to work with the wide range of NVIDIA supported solutions. </li>
        </ul>
    </div>
  </div>
</div>
<hr>
<div class="section">
{% macro mklink(link, img, h3, p) %}
  <div class="row">
    <div class="col-xs-0 col-md-0 col-lg-1"></div>
    <div class="col-xs-6 col-md-4 col-lg-3">
      <a href="{{ link }}">{% if img %}<img class="linkimg" src="{{ img }}" />{% else %}<b><i>AN IMAGE!</i></b>{% endif %}</a>
    </div>
    <div class="col-xs-6 col-md-8 col-lg-7">
      <h3>{{ h3 }}</h3>
      <p>{{ p }}</p>
      <a href="{{ link }}">Learn More ></a>
    </div>
    <div class="col-xs-0 col-md-0 col-lg-1"></div>
  </div>
{%- endmacro %}
{{ mklink("primer.html", "_static/build-community.png", "Learn About NVDLA", "Gain a full understanding of NVDLA in our conceptual overview.") }}
{{ mklink("roadmap.html", "_static/developer-question.png", "What's Next", "Preview the NVDLA roadmap.") }}
{{ mklink("contents.html", "_static/community-doc.png", "Dive Deep", "Ready to dive into NVDLA?  Check out the documentation.") }}
{{ mklink("https://github.com/nvdla", "_static/github.png", "Get the Code", "Go straight to the source and get the NVDLA code from our repository on GitHub.") }}
{{ mklink("signup.html", "_static/email.png", "Sign up for Email", "Get the latest NVDLA news.") }}

  </div>
<hr>
<div class="section">
<div class="row">
<div class="col-xs-0 col-lg-1"></div>
<div class="col-xs-12 col-lg-10">
<p class="bigger">

Have questions that we haven't answered?  Feel free to <a
href="mailto:nvdla@nvidia.com">contact the NVDLA team by e-mail</a>.

</p>
</div>
<div class="col-xs-0 col-lg-1"></div>
</div>
</div>
</div>
{% endblock body %}
